Data Summary

Dataset statistics

Number of variables	16
Number of observations	8693
Missing cells	200
Missing cells (%)	0.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.1 MiB
Average record size in memory	128.0 B

Variable types

Categorical	8
Numeric	8

Alerts

`PassengerId` has a high cardinality: 8693 distinct values	High cardinality
`Name` has a high cardinality: 8473 distinct values	High cardinality
`Cabin` is highly overall correlated with `HomePlanet` and 1 other fields	High correlation
`Cabin_num` is highly overall correlated with `HomePlanet` and 1 other fields	High correlation
`HomePlanet` is highly overall correlated with `Cabin` and 2 other fields	High correlation
`CryoSleep` is highly overall correlated with `Transported`	High correlation
`RoomService` is highly overall correlated with `CryoSleep`	High correlation
`FoodCourt` is highly overall correlated with `CryoSleep`	High correlation
`ShoppingMall` is highly overall correlated with `CryoSleep`	High correlation
`Spa` is highly overall correlated with `CryoSleep`	High correlation
`VRDeck` is highly overall correlated with `CryoSleep`	High correlation
`Destination` is highly overall correlated with `HomePlanet`	High correlation
`Transported` is highly overall correlated with `CryoSleep`	High correlation
`Name` has 200 (2.3%) missing values	Missing
`PassengerId` is uniformly distributed	Uniform
`Name` is uniformly distributed	Uniform
`PassengerId` has unique values	Unique
`Cabin` has 256 (2.9%) zeros	Zeros
`Age` has 178 (2.0%) zeros	Zeros
`RoomService` has 5577 (64.2%) zeros	Zeros
`FoodCourt` has 5471 (62.9%) zeros	Zeros
`ShoppingMall` has 5683 (65.4%) zeros	Zeros
`Spa` has 5324 (61.2%) zeros	Zeros
`VRDeck` has 5497 (63.2%) zeros	Zeros

Reproduction

Analysis started	2022-12-02 01:19:44.043068
Analysis finished	2022-12-02 01:20:03.762876
Duration	19.72 seconds
Software version	pandas-profiling vv3.5.0
Download configuration	config.json

PassengerId
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	8693
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	68.0 KiB

0001_01	1
7999_01	1
8014_01	1
8012_03	1
8012_02	1
Other values (8688)	8688

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	60851
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8693 ?
Unique (%)	100.0%

Sample

1st row	0001_01
2nd row	0002_01
3rd row	0003_01
4th row	0003_02
5th row	0004_01

Common Values

Value	Count	Frequency (%)
0001_01	1	< 0.1%
7999_01	1	< 0.1%
8014_01	1	< 0.1%
8012_03	1	< 0.1%
8012_02	1	< 0.1%
8012_01	1	< 0.1%
8010_01	1	< 0.1%
8007_02	1	< 0.1%
8007_01	1	< 0.1%
8006_01	1	< 0.1%
Other values (8683)	8683	99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
0001_01	1	< 0.1%
0044_01	1	< 0.1%
0003_01	1	< 0.1%
0003_02	1	< 0.1%
0004_01	1	< 0.1%
0005_01	1	< 0.1%
0006_01	1	< 0.1%
0007_01	1	< 0.1%
0008_01	1	< 0.1%
0008_03	1	< 0.1%
Other values (8683)	8683	99.9%

Most occurring characters

Value	Count	Frequency (%)
0	12459	20.5%
1	9827	16.1%
_	8693	14.3%
2	5017	8.2%
3	4039	6.6%
4	3790	6.2%
6	3664	6.0%
5	3606	5.9%
8	3557	5.8%
7	3410	5.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	52158	85.7%
Connector Punctuation	8693	14.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	12459	23.9%
1	9827	18.8%
2	5017	9.6%
3	4039	7.7%
4	3790	7.3%
6	3664	7.0%
5	3606	6.9%
8	3557	6.8%
7	3410	6.5%
9	2789	5.3%

Connector Punctuation

Value	Count	Frequency (%)
_	8693	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	60851	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	12459	20.5%
1	9827	16.1%
_	8693	14.3%
2	5017	8.2%
3	4039	6.6%
4	3790	6.2%
6	3664	6.0%
5	3606	5.9%
8	3557	5.8%
7	3410	5.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	60851	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	12459	20.5%
1	9827	16.1%
_	8693	14.3%
2	5017	8.2%
3	4039	6.6%
4	3790	6.2%
6	3664	6.0%
5	3606	5.9%
8	3557	5.8%
7	3410	5.6%

HomePlanet
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	68.0 KiB

0	4714
1	2175
2	1804

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	8693
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	4714	54.2%
1	2175	25.0%
2	1804	20.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	4714	54.2%
1	2175	25.0%
2	1804	20.8%

Most occurring characters

Value	Count	Frequency (%)
0	4714	54.2%
1	2175	25.0%
2	1804	20.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8693	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4714	54.2%
1	2175	25.0%
2	1804	20.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	8693	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	4714	54.2%
1	2175	25.0%
2	1804	20.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8693	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	4714	54.2%
1	2175	25.0%
2	1804	20.8%

CryoSleep
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	68.0 KiB

0	5568
1	3125

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	8693
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	5568	64.1%
1	3125	35.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	5568	64.1%
1	3125	35.9%

Most occurring characters

Value	Count	Frequency (%)
0	5568	64.1%
1	3125	35.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8693	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	5568	64.1%
1	3125	35.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	8693	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	5568	64.1%
1	3125	35.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8693	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	5568	64.1%
1	3125	35.9%

Cabin
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct	8
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.3010468

Minimum	0
Maximum	7
Zeros	256
Zeros (%)	2.9%
Negative	0
Negative (%)	0.0%
Memory size	68.0 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	5
Q3	6
95-th percentile	6
Maximum	7
Range	7
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.7602883
Coefficient of variation (CV)	0.40926974
Kurtosis	-0.30516724
Mean	4.3010468
Median Absolute Deviation (MAD)	1
Skewness	-0.94842497
Sum	37389
Variance	3.0986149
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
5	2821	32.5%
6	2564	29.5%
4	1025	11.8%
1	779	9.0%
2	747	8.6%
3	495	5.7%
0	256	2.9%
7	6	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	256	2.9%
1	779	9.0%
2	747	8.6%
3	495	5.7%
4	1025	11.8%
5	2821	32.5%
6	2564	29.5%
7	6	0.1%

Value	Count	Frequency (%)
7	6	0.1%
6	2564	29.5%
5	2821	32.5%
4	1025	11.8%
3	495	5.7%
2	747	8.6%
1	779	9.0%
0	256	2.9%

Cabin_num
Real number (ℝ)

Distinct	1817
Distinct (%)	20.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	591.52905

Minimum	0
Maximum	1894
Zeros	22
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	68.0 KiB

Quantile statistics

Minimum	0
5-th percentile	30
Q1	166
median	407
Q3	983
95-th percentile	1561
Maximum	1894
Range	1894
Interquartile range (IQR)	817

Descriptive statistics

Standard deviation	509.49978
Coefficient of variation (CV)	0.86132673
Kurtosis	-0.66160158
Mean	591.52905
Median Absolute Deviation (MAD)	313
Skewness	0.75153112
Sum	5142162
Variance	259590.03
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
289	94	1.1%
82	28	0.3%
21	27	0.3%
90	23	0.3%
0	22	0.3%
86	22	0.3%
19	22	0.3%
176	21	0.2%
97	21	0.2%
56	21	0.2%
Other values (1807)	8392	96.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	22	0.3%
1	15	0.2%
2	11	0.1%
3	16	0.2%
4	7	0.1%
5	13	0.1%
6	12	0.1%
7	9	0.1%
8	13	0.1%
9	16	0.2%

Value	Count	Frequency (%)
1894	1	< 0.1%
1893	1	< 0.1%
1892	1	< 0.1%
1891	1	< 0.1%
1888	2	< 0.1%
1886	1	< 0.1%
1884	1	< 0.1%
1880	1	< 0.1%
1878	1	< 0.1%
1877	1	< 0.1%

Cabin_port
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	68.0 KiB

0	4403
1	4290

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	8693
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	4403	50.6%
1	4290	49.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	4403	50.6%
1	4290	49.4%

Most occurring characters

Value	Count	Frequency (%)
0	4403	50.6%
1	4290	49.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8693	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4403	50.6%
1	4290	49.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	8693	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	4403	50.6%
1	4290	49.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8693	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	4403	50.6%
1	4290	49.4%

Destination
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	68.0 KiB

2	6082
0	1815
1	796

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	8693
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	6082	70.0%
0	1815	20.9%
1	796	9.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	6082	70.0%
0	1815	20.9%
1	796	9.2%

Most occurring characters

Value	Count	Frequency (%)
2	6082	70.0%
0	1815	20.9%
1	796	9.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8693	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	6082	70.0%
0	1815	20.9%
1	796	9.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	8693	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	6082	70.0%
0	1815	20.9%
1	796	9.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8693	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	6082	70.0%
0	1815	20.9%
1	796	9.2%

Age
Real number (ℝ)

Distinct	80
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	28.58921

Minimum	0
Maximum	79
Zeros	178
Zeros (%)	2.0%
Negative	0
Negative (%)	0.0%
Memory size	68.0 KiB

Quantile statistics

Minimum	0
5-th percentile	4
Q1	19
median	27
Q3	37
95-th percentile	55
Maximum	79
Range	79
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	14.451078
Coefficient of variation (CV)	0.50547314
Kurtosis	0.11527462
Mean	28.58921
Median Absolute Deviation (MAD)	9
Skewness	0.44745822
Sum	248526
Variance	208.83365
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
18	363	4.2%
21	328	3.8%
24	324	3.7%
19	317	3.6%
22	294	3.4%
23	292	3.4%
20	284	3.3%
26	268	3.1%
28	267	3.1%
27	260	3.0%
Other values (70)	5696	65.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	178	2.0%
1	67	0.8%
2	75	0.9%
3	75	0.9%
4	71	0.8%
5	34	0.4%
6	40	0.5%
7	53	0.6%
8	50	0.6%
9	44	0.5%

Value	Count	Frequency (%)
79	3	< 0.1%
78	3	< 0.1%
77	2	< 0.1%
76	2	< 0.1%
75	4	< 0.1%
74	5	0.1%
73	7	0.1%
72	4	< 0.1%
71	7	0.1%
70	9	0.1%

VIP
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	68.0 KiB

0	8494
1	199

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	8693
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	8494	97.7%
1	199	2.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	8494	97.7%
1	199	2.3%

Most occurring characters

Value	Count	Frequency (%)
0	8494	97.7%
1	199	2.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8693	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	8494	97.7%
1	199	2.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	8693	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	8494	97.7%
1	199	2.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8693	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	8494	97.7%
1	199	2.3%

RoomService
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct	1293
Distinct (%)	14.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	245.71023

Minimum	0
Maximum	14327
Zeros	5577
Zeros (%)	64.2%
Negative	0
Negative (%)	0.0%
Memory size	68.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	77
95-th percentile	1419.4
Maximum	14327
Range	14327
Interquartile range (IQR)	77

Descriptive statistics

Standard deviation	683.58887
Coefficient of variation (CV)	2.7820937
Kurtosis	57.242125
Mean	245.71023
Median Absolute Deviation (MAD)	0
Skewness	5.8374018
Sum	2135959
Variance	467293.74
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	5577	64.2%
1	117	1.3%
2	79	0.9%
3	61	0.7%
4	47	0.5%
485	44	0.5%
5	28	0.3%
9	25	0.3%
6	24	0.3%
8	24	0.3%
Other values (1283)	2667	30.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5577	64.2%
1	117	1.3%
2	79	0.9%
3	61	0.7%
4	47	0.5%
5	28	0.3%
6	24	0.3%
7	17	0.2%
8	24	0.3%
9	25	0.3%

Value	Count	Frequency (%)
14327	1	< 0.1%
9920	1	< 0.1%
8586	1	< 0.1%
8243	1	< 0.1%
8209	1	< 0.1%
8168	1	< 0.1%
8151	1	< 0.1%
8142	1	< 0.1%
8030	1	< 0.1%
7406	1	< 0.1%

FoodCourt
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct	1526
Distinct (%)	17.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	459.71506

Minimum	0
Maximum	29813
Zeros	5471
Zeros (%)	62.9%
Negative	0
Negative (%)	0.0%
Memory size	68.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	109
95-th percentile	2669.4
Maximum	29813
Range	29813
Interquartile range (IQR)	109

Descriptive statistics

Standard deviation	1595.7785
Coefficient of variation (CV)	3.471234
Kurtosis	74.656669
Mean	459.71506
Median Absolute Deviation (MAD)	0
Skewness	7.1580172
Sum	3996303
Variance	2546509.2
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	5471	62.9%
1	116	1.3%
2	75	0.9%
3	53	0.6%
4	53	0.6%
575	39	0.4%
5	33	0.4%
6	31	0.4%
9	28	0.3%
7	27	0.3%
Other values (1516)	2767	31.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5471	62.9%
1	116	1.3%
2	75	0.9%
3	53	0.6%
4	53	0.6%
5	33	0.4%
6	31	0.4%
7	27	0.3%
8	20	0.2%
9	28	0.3%

Value	Count	Frequency (%)
29813	1	< 0.1%
27723	1	< 0.1%
27071	1	< 0.1%
26830	1	< 0.1%
21066	1	< 0.1%
18481	1	< 0.1%
17958	1	< 0.1%
17901	1	< 0.1%
17687	1	< 0.1%
17432	1	< 0.1%

ShoppingMall
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct	1124
Distinct (%)	12.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	175.52203

Minimum	0
Maximum	23492
Zeros	5683
Zeros (%)	65.4%
Negative	0
Negative (%)	0.0%
Memory size	68.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	32
95-th percentile	912.4
Maximum	23492
Range	23492
Interquartile range (IQR)	32

Descriptive statistics

Standard deviation	599.18999
Coefficient of variation (CV)	3.4137595
Kurtosis	332.84866
Mean	175.52203
Median Absolute Deviation (MAD)	0
Skewness	12.663393
Sum	1525813
Variance	359028.64
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	5683	65.4%
1	153	1.8%
2	80	0.9%
3	59	0.7%
4	45	0.5%
5	38	0.4%
7	36	0.4%
6	34	0.4%
13	29	0.3%
8	28	0.3%
Other values (1114)	2508	28.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5683	65.4%
1	153	1.8%
2	80	0.9%
3	59	0.7%
4	45	0.5%
5	38	0.4%
6	34	0.4%
7	36	0.4%
8	28	0.3%
9	28	0.3%

Value	Count	Frequency (%)
23492	1	< 0.1%
12253	1	< 0.1%
10705	1	< 0.1%
10424	1	< 0.1%
9058	1	< 0.1%
7810	1	< 0.1%
7185	1	< 0.1%
7148	1	< 0.1%
7104	1	< 0.1%
6805	1	< 0.1%

Spa
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct	1378
Distinct (%)	15.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	357.46555

Minimum	0
Maximum	22408
Zeros	5324
Zeros (%)	61.2%
Negative	0
Negative (%)	0.0%
Memory size	68.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	89
95-th percentile	2168.2
Maximum	22408
Range	22408
Interquartile range (IQR)	89

Descriptive statistics

Standard deviation	1177.323
Coefficient of variation (CV)	3.2935287
Kurtosis	68.15581
Mean	357.46555
Median Absolute Deviation (MAD)	0
Skewness	6.8335306
Sum	3107448
Variance	1386089.5
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	5324	61.2%
1	146	1.7%
2	105	1.2%
3	53	0.6%
5	53	0.6%
4	46	0.5%
2938	36	0.4%
7	34	0.4%
6	33	0.4%
8	28	0.3%
Other values (1368)	2835	32.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5324	61.2%
1	146	1.7%
2	105	1.2%
3	53	0.6%
4	46	0.5%
5	53	0.6%
6	33	0.4%
7	34	0.4%
8	28	0.3%
9	28	0.3%

Value	Count	Frequency (%)
22408	1	< 0.1%
18572	1	< 0.1%
16594	1	< 0.1%
16139	1	< 0.1%
15586	1	< 0.1%
15331	1	< 0.1%
15238	1	< 0.1%
14970	1	< 0.1%
13995	1	< 0.1%
13902	1	< 0.1%

VRDeck
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct	1330
Distinct (%)	15.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	322.14817

Minimum	0
Maximum	24133
Zeros	5497
Zeros (%)	63.2%
Negative	0
Negative (%)	0.0%
Memory size	68.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	67
95-th percentile	1657
Maximum	24133
Range	24133
Interquartile range (IQR)	67

Descriptive statistics

Standard deviation	1150.9937
Coefficient of variation (CV)	3.5728705
Kurtosis	82.193077
Mean	322.14817
Median Absolute Deviation (MAD)	0
Skewness	7.5665315
Sum	2800434
Variance	1324786.4
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	5497	63.2%
1	139	1.6%
2	70	0.8%
3	56	0.6%
5	51	0.6%
148	48	0.6%
4	47	0.5%
6	32	0.4%
8	30	0.3%
7	29	0.3%
Other values (1320)	2694	31.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5497	63.2%
1	139	1.6%
2	70	0.8%
3	56	0.6%
4	47	0.5%
5	51	0.6%
6	32	0.4%
7	29	0.3%
8	30	0.3%
9	25	0.3%

Value	Count	Frequency (%)
24133	1	< 0.1%
20336	1	< 0.1%
17306	1	< 0.1%
17074	1	< 0.1%
16337	1	< 0.1%
14485	1	< 0.1%
12708	1	< 0.1%
12685	1	< 0.1%
12682	1	< 0.1%
12424	1	< 0.1%

Name
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	8473
Distinct (%)	99.8%
Missing	200
Missing (%)	2.3%
Memory size	68.0 KiB

Anton Woody	2
Cuses Pread	2
Ankalik Nateansive	2
Grake Porki	2
Carry Contrevins	2
Other values (8468)	8483

Length

Max length	18
Median length	15
Mean length	13.833628
Min length	7

Characters and Unicode

Total characters	117489
Distinct characters	53
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8453 ?
Unique (%)	99.5%

Sample

1st row	Maham Ofracculy
2nd row	Juanna Vines
3rd row	Altark Susent
4th row	Solam Susent
5th row	Willy Santantines

Common Values

Value	Count	Frequency (%)
Anton Woody	2	< 0.1%
Cuses Pread	2	< 0.1%
Ankalik Nateansive	2	< 0.1%
Grake Porki	2	< 0.1%
Carry Contrevins	2	< 0.1%
Sus Coolez	2	< 0.1%
Troya Schwardson	2	< 0.1%
Apix Wala	2	< 0.1%
Elaney Webstephrey	2	< 0.1%
Sharie Gallenry	2	< 0.1%
Other values (8463)	8473	97.5%
(Missing)	200	2.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
willy	20	0.1%
casonston	18	0.1%
oneiles	16	0.1%
domington	15	0.1%
litthews	15	0.1%
browlerson	14	0.1%
fulloydez	14	0.1%
garnes	14	0.1%
cartez	14	0.1%
idace	13	0.1%
Other values (4880)	16833	99.1%

Most occurring characters

Value	Count	Frequency (%)
e	12691	10.8%
a	10251	8.7%
n	9155	7.8%
	8493	7.2%
r	7707	6.6%
o	6563	5.6%
i	6456	5.5%
l	6231	5.3%
s	5299	4.5%
t	4552	3.9%
Other values (43)	40091	34.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	92010	78.3%
Uppercase Letter	16986	14.5%
Space Separator	8493	7.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	12691	13.8%
a	10251	11.1%
n	9155	10.0%
r	7707	8.4%
o	6563	7.1%
i	6456	7.0%
l	6231	6.8%
s	5299	5.8%
t	4552	4.9%
y	4093	4.4%
Other values (17)	19012	20.7%

Uppercase Letter

Value	Count	Frequency (%)
S	1530	9.0%
C	1499	8.8%
B	1412	8.3%
M	1261	7.4%
A	1194	7.0%
P	987	5.8%
H	911	5.4%
G	848	5.0%
D	809	4.8%
W	742	4.4%
Other values (15)	5793	34.1%

Space Separator

Value	Count	Frequency (%)
	8493	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	108996	92.8%
Common	8493	7.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	12691	11.6%
a	10251	9.4%
n	9155	8.4%
r	7707	7.1%
o	6563	6.0%
i	6456	5.9%
l	6231	5.7%
s	5299	4.9%
t	4552	4.2%
y	4093	3.8%
Other values (42)	35998	33.0%

Common

Value	Count	Frequency (%)
	8493	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	117401	99.9%
None	88	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	12691	10.8%
a	10251	8.7%
n	9155	7.8%
	8493	7.2%
r	7707	6.6%
o	6563	5.6%
i	6456	5.5%
l	6231	5.3%
s	5299	4.5%
t	4552	3.9%
Other values (42)	40003	34.1%

None

Value	Count	Frequency (%)
é	88	100.0%

Transported
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	68.0 KiB

1	4378
0	4315

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	8693
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
1	4378	50.4%
0	4315	49.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	4378	50.4%
0	4315	49.6%

Most occurring characters

Value	Count	Frequency (%)
1	4378	50.4%
0	4315	49.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8693	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	4378	50.4%
0	4315	49.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	8693	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	4378	50.4%
0	4315	49.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8693	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	4378	50.4%
0	4315	49.6%

Auto

The auto setting is an interpretable pairwise column metric of the following mapping:

Variable_type-Variable_type : Method, Range
Categorical-Categorical : Cramer's V, [0,1]
Numerical-Categorical : Cramer's V, [0,1] (using a discretized numerical column)
Numerical-Numerical : Spearman's ρ, [-1,1]

The number of bins used in the discretization for the Numerical-Categorical column pair can be changed using config.correlations["auto"].n_bins. The number of bins affects the granularity of the association you wish to measure.

This configuration uses the recommended metric for each pair of columns.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	PassengerId	HomePlanet	CryoSleep	Cabin	Cabin_num	Cabin_port	Destination	Age	VIP	RoomService	FoodCourt	ShoppingMall	Spa	VRDeck	Name	Transported
0	0001_01	1	0	1	0	0	2	39	0	0	0	0	0	0	Maham Ofracculy	0
1	0002_01	0	0	5	0	1	2	24	0	109	9	25	549	44	Juanna Vines	1
2	0003_01	1	0	0	0	1	2	58	1	43	3576	0	6715	49	Altark Susent	0
3	0003_02	1	0	0	0	1	2	33	0	0	1283	371	3329	193	Solam Susent	0
4	0004_01	0	0	5	1	1	2	16	0	303	70	151	565	2	Willy Santantines	1
5	0005_01	0	0	5	0	0	1	44	0	0	483	0	291	0	Sandie Hinetthews	1
6	0006_01	0	0	5	2	1	2	26	0	42	1539	3	0	0	Billex Jacostaffey	1
7	0007_01	0	0	5	3	1	2	35	0	0	785	17	216	0	Andona Beston	1
8	0008_01	1	1	1	1	0	0	14	0	0	0	0	0	0	Erraiam Flatic	1
9	0008_03	1	0	1	1	0	0	45	0	39	7295	589	110	124	Wezena Flatic	1

	PassengerId	HomePlanet	CryoSleep	Cabin	Cabin_num	Destination	Age	RoomService	FoodCourt	ShoppingMall	Spa	VRDeck	Name	Transported
8683	5474_01	0	1	4	275	2	21	0	0	0	0	0	Thew Strony	1
8684	0693_01	1	1	4	14	0	35	0	0	0	2853	0	Mothab Dedometeel	1
8685	0278_01	0	0	4	11	2	35	0	0	0	888	2648	Judya Beachez	0
8686	4637_01	2	0	4	221	2	24	672	0	501	0	34	Tark Ches	0
8687	4974_02	1	1	4	263	0	45	0	0	0	0	148	Lesat Vendeck	1
8688	8772_02	1	0	3	90	0	53	0	1127	0	3939	400	Naosura Motled	0
8689	3821_01	0	0	4	309	1	35	0	2	0	0	867	Violan Mcphernard	0
8690	7746_01	1	1	4	289	0	35	0	0	0	0	0	Antinon Patoetic	1
8691	4167_01	0	0	4	309	1	33	0	440	0	0	334	Ninaha Deckerson	0
8692	2970_01	0	0	5	42	2	27	740	82	6	628	1	Dwin Adkinson	0

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Connector Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII